HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC
Geekbench AI Score
10165
Single Precision Score
25970
Half Precision Score
29609
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 05:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook X G1i 14 inch Notebook Next Gen AI PC |
| Motherboard | HP 8D84 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 236V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6646
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
12929
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
17429
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8970
145.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24186
392.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28098
455.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19782
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
116106
135.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
219070
256.5 IPS |
|
|
Object Detection (SP)
|
100% |
6139
486.9 IPS |
|
|
Object Detection (HP)
|
100% |
13603
1.08 KIPS |
|
|
Object Detection (Q)
|
88% |
15245
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
13733
163.2 IPS |
|
|
Face Detection (HP)
|
100% |
32330
384.1 IPS |
|
|
Face Detection (Q)
|
100% |
41142
488.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21280
163.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
51075
393.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
61015
474.5 IPS |
|
|
Style Transfer (SP)
|
100% |
45636
58.7 IPS |
|
|
Style Transfer (HP)
|
100% |
134830
173.3 IPS |
|
|
Style Transfer (Q)
|
98% |
156197
201.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8769
323.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29680
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32500
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5456
7.28 KIPS |
|
|
Text Classification (Q)
|
92% |
3223
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3579
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7838
135.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7710
132.8 IPS |
